iPad17,1
Geekbench AI Score
13313
Single Precision Score
23377
Half Precision Score
23387
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 13 2025 03:38 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad17,1 |
| Model ID | iPad17,1 |
| Motherboard | J817AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6126
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10348
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
9607
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9987
161.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15409
249.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
16824
272.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
37628
43.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
91139
106.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
106405
124.7 IPS |
|
|
Object Detection (SP)
|
100% |
6317
501.1 IPS |
|
|
Object Detection (HP)
|
100% |
10921
866.3 IPS |
|
|
Object Detection (Q)
|
93% |
9804
782.1 IPS |
|
|
Face Detection (SP)
|
100% |
18480
219.6 IPS |
|
|
Face Detection (HP)
|
100% |
32418
385.2 IPS |
|
|
Face Detection (Q)
|
100% |
26280
312.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
27755
213.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
50984
392.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
51718
403.8 IPS |
|
|
Style Transfer (SP)
|
100% |
78763
101.3 IPS |
|
|
Style Transfer (HP)
|
100% |
165989
213.4 IPS |
|
|
Style Transfer (Q)
|
96% |
203342
262.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15788
583.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30786
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28658
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3078
4.11 KIPS |
|
|
Text Classification (HP)
|
99% |
5566
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5574
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
6129
105.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6535
112.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6576
113.6 IPS |
